In a strong learning chat, experts answer less often — but with high quality. As the community grows, the same expert gets pulled into the same questions, burnout increases, and quality drops.
Here’s a lightweight system that preserves expertise and reduces load.
1) Make roles explicit
A minimal set:
- expert/mentor — handles complex questions and quality checks
- moderator — keeps hygiene and question format
- curator — captures outcomes, FAQ, and links
2) Make expert answers reusable
Ask experts to:
- answer structurally (steps + example)
- include a source link (doc/message)
- add a short “bottom line”
3) Turn “best answers” into artifacts
Simple mechanisms:
- ✅ reaction on the best answer
- a final summary message after the thread
- add it to the FAQ
4) Don’t force experts to repeat themselves
When a newcomer asks a repeat:
- link to the past explanation first
- ask for more context only if needed
5) How AskMore helps with expertise
AskMore can:
- highlight experts and prioritize their answers
- find past answers by meaning (with quotes and links)
- provide quick overviews so experts join only when needed
Try it: https://t.me/AskMoreBot